LightVesselNet is an encoder-decoder network with 75K parameters using attention, multi-scale aggregation, subpixel upsampling and edge residuals that reports competitive sensitivity and Dice scores on DRIVE, STARE, CHASEDB1, FIVES and HRF datasets.
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LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation
LightVesselNet is an encoder-decoder network with 75K parameters using attention, multi-scale aggregation, subpixel upsampling and edge residuals that reports competitive sensitivity and Dice scores on DRIVE, STARE, CHASEDB1, FIVES and HRF datasets.